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Documents related to » perspectives on data warehousing olap


Business Process Overview: Warehousing Solutions
Business Process Overview: Warehousing Solutions. Search for Templates and Other Software to Delineate Your Evaluation Concerning the Business Process and Warehousing Solutions Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into reliability and service.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Business Process Overview: Warehousing Solutions Business Process Overview: Warehousing Solutions Source: IBS Document Type: White Paper Description: Warehousing processes are critical for the success of a distribution business. These processes are highly visible to your customers, and have a direct impact on their opinion of your company. If you cannot get the goods to your customers in the most efficient way, you risk losing their business. Your warehousing and logistics operations must translate into
11/16/2006 2:23:00 PM

Who Needs Warehousing Management and How Much Thereof?
The warehouse is no longer merely a static storage facility. It now has to use virtually real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Who Needs Warehousing Management and How Much Thereof? Who Needs Warehousing Management and How Much Thereof? P.J. Jakovljevic - August 30, 2005 Read Comments Who Needs Warehousing and How Much Thereof? The warehouse is no longer merely a static storage facility. It now has to use virtually real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain. Therefore, because broader supply chain execution (SCE)
8/30/2005

Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete Source: SAP Document Type: White Paper Description: The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its
7/26/2013 3:40:00 PM

Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations
Among its promising initiatives, IBS offers flexible rescheduling tools that integrate with existing manufacturing resource planning systems. Its warehousing solution also promises better use of space, and automates reception put-away, etc. However, the vendor still must navigate through some rough competitive terrain.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations P.J. Jakovljevic - September 9, 2005 Read Comments ASW Manufacturing and Warehousing The global provider of enterprise resource planning (ERP) and supply chain management International Business Systems (IBS) offers a modular solution called ASW Manufacturing , which was developed as a demand-driven manufacturing solution geared to handle very
9/9/2005

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor
9/9/2009 2:36:00 PM

Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Governance from the Ground Up: Launching Your Data Governance Initiative Governance from the Ground Up: Launching Your Data Governance Initiative Source: SAP Document Type: White Paper Description: Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will
3/21/2011 1:41:00 PM

Data Center Projects: Project Management
Data Center Projects: Project Management. Find Free Blueprint and Other Solutions to Define Your Data Center Project In Relation To Project Management. In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Data Center Projects: Project Management Data Center Projects: Project Management Source: APC by Schneider Electric Document Type: White Paper Description: In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your
12/4/2008 10:45:00 AM

CMOs Thriving in the Age of Big Data » The TEC Blog
September 2007 Blogroll 3D Perspectives A Software Insider s Point of View All about Microsoft Amy Wohl s Opinions on Cloud Computing and SaaS Aras Corporate Blog ARIS BPM Blog Beyond PLM BlogERP Brandcentric blog CBR s blog Chief Pricing Officer CIO-Reinvented blog Clarity on PLM Connected Enterprise CPG Chatter CRM Intelligence & Strategy Dave Stein s Blog Deal Architect Denis Pombriant eCommerce Insights Enterprise 2.0 blog Enterprise Irregulars Blogs Enterprise Matters Event Processing Blog Evolving

PERSPECTIVES ON DATA WAREHOUSING OLAP: chief marketing officer, CRM software selection, customer relationship management, EMM, enterprise marketing management, marketing analytics, marketing data, marketing software requirements, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
22-02-2013

Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how that data will be used and its importance to the operation of the enterprise.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Six Misconceptions about Data Migration Six Misconceptions about Data Migration Norma L. Davis - June 23, 2008 Read Comments Originally published February 4th, 2008 As organizations embark on a system implementation, one of the most important and riskiest activities is data migration—the movement of data from the old legacy system to the new system. While the selection, implementation, and operation of an enterprise application for enterprise resource planning (ERP), enterprise asset management (EAM),
6/23/2008

Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

PERSPECTIVES ON DATA WAREHOUSING OLAP: implementing energy efficient data centers, implementing, energy, efficient, data, centers, energy efficient data centers, implementing efficient data centers, implementing energy data centers, implementing energy efficient centers, implementing energy efficient data..
6/18/2009

Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

PERSPECTIVES ON DATA WAREHOUSING OLAP: Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information
3/16/2011 1:15:00 PM


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